Large Scale Simulations of Photonic Quantum Computers

Current quantum computers are in the “NISQ”, or Noisy-Intermediate-Scale-Quantum regime. The true potential of quantum computing will only be realized when noise levels are reduced or controlled, and large scale is achieved. Xanadu’s approach is to use photonic technology as the building blocks of their machines. This project addresses two related questions concerning the future […]

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Decentralized Services for Sharing and Searching User Generated Data

The existing model for applications and services on the internet is a centralized client server model where user information is under the control of the service provider. As such as centralized model, albeit cost-efficient and easy to maintain, has created dire consequences for humanity. Hence, for the proposed research project, we aim to provide tools […]

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Semantic versioning of model changes in decision support systems

Nowadays, almost any company in Canada in operation heavily relies on software solutions to improve their productivity. However, they are often facing the problem of having too many options to choose from for the software best fit for their needs. Decision support systems (DSS) help enterprises to take significant business decisions, such as finding the […]

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Building Systems Operational Dashboard and Analysis

Mircom is a Canadian Company that operates as a global player the building solutions sector and is the largest independent fire alarm and control system manufacturer in North America, with product lines spanning Fire Alarm and Emergency Audio, Communications, and Security and brands include Mircom™ Secutron™, and U.E.C.™ United Export Corporation. This project will boost […]

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Model-driven application/ sensor testing

While Android is a very popular platform and represents the fastest growing segment in the smartphone and tablet space, we see all kinds of different android platforms emerging. Thus, we not only have the problem of having different android operating systems, we also have the problem that vendors are able to customize the android operating […]

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Computer Vision for Crop Weed Identification

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several […]

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Investigating Machine-Learning-Based Mocap Data Augmentation for Live Performance

This project is a collaboration between researchers from the Simon Fraser University and industry partners, Lifelike & Believable Animation Design and Animatrik Film Design. Its goal is to research and develop machine learning techniques for capturing and analyzing movement data in real-time to support the world’s first immersive in-game 3D simulcast of a live, real-time […]

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Integrity and Analytics of Energy Market Data

ReWatt Power facilitates transactions of green energy derivatives/green attributes such as Alberta Carbon Offsets. The company uses a blockchain technology to manage all transactions on their platform. This way, all parties have access to the transaction history in a database they own, and the transactions are immutable. The first objective of this project is to […]

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Web Tools for Intelligent Real-Time Data Analy-sis

Data analysis plays an important role in healthcare as it enables service providers to discover hidden knowledge in the data, allowing them make more informed decisions about patients’ health. The continuing increase in the amount of data and lack of skilled people, however, has made data analysis very challenging. This project aims at developing web-based […]

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Deep Language models for Visual analytics of diversity and inclusion

The project will build an Artificial Intelligence-powered Bias Detection tool to identify bias and discrimination faced by employees of a company. The tool will take in free-text content from employee surveys, internal reviews and social media, and produce a score indicating whether the author of the content is likely facing or exhibiting bias. Algorithms will […]

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